Open Access
Issue |
MATEC Web of Conferences
Volume 56, 2016
2016 8th International Conference on Computer and Automation Engineering (ICCAE 2016)
|
|
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Article Number | 07003 | |
Number of page(s) | 5 | |
Section | Machine vision and robot | |
DOI | https://doi.org/10.1051/matecconf/20165607003 | |
Published online | 26 April 2016 |
- F. G. Miskelly, Assistive technology in elderly care, Age Ageing, 30, pp.455–458 (2001) [CrossRef] [Google Scholar]
- C. Trial, HiranoT. et al, Interactive Robots as Social Partners and Peer Tutors for childrens: A field trial, HCI, 19, pp.61–84 (2004) [Google Scholar]
- A. Benavides-Lara& M. Vargas-Salas, Original Mortality by accidental causes in children of 5 years and younger at the “Nacional de Niños” Hospital, Acta Med. Costarric., 50, pp.22–28 (2008) [Google Scholar]
- Y. Benguigui, J.C Bossio & H. Fernández, Operations Research on Integrated Management to Prevalent Childhood Illness, OPS/OMS, pp.437–532 (2001) [Google Scholar]
- C. a Reyes-Ortiz, S. Al Snih, & K. S. Markides, Falls among elderly persons in Latin America and the Caribbean and among elderly Mexican-Americans, RPSP/PAJPH, 17, pp.362–9 (2005) [Google Scholar]
- J. Broekens, M. Heerink, &H. Rosendal, Assistive social robots in elderly care: a review, Gerontechnology, 8, pp.94–103 (2009) [CrossRef] [Google Scholar]
- M. Pollack et al, Pearl: A mobile robotic assistant for the elderly, AAAI, pp.85–91, (2002) [Google Scholar]
- K. Wada et al, Effects of robot assisted activity to elderly people who stay at a health service facility for the aged, IROS, 3, pp.2847–2852 (2003) [Google Scholar]
- WadaK.et al, Effects of robot-assisted activity for elderly people and nurses at a day service center, IEEE, 92, pp.1780–1788 (2004) [CrossRef] [Google Scholar]
- A. Van Breemen, X. Yan & B. Meerbeek, iCat: an animated user-interface robot with personality, AAMAS, pp.143–144 (2005) [CrossRef] [Google Scholar]
- M. Fujita, AIBO: Toward the era of digital creatures, IJRR, 20, pp.781–794 (2001) [Google Scholar]
- R. Siegwart &I. R. Nourbakhsh, Introduction to Autonomous Mobile Robots, p.17, 30, 35 (2006) [Google Scholar]
- O. Tuzel, F. Porikli, & P. Meer, Human detection via classification on riemannian manifolds, CVPR’07, pp.1–8 (2007) [Google Scholar]
- V. Ferrari, M. Marin-Jimenez, & A. Zisserman, Progressive search space reduction for human pose estimation, CVPR’08, pp.1–8 (2008) [Google Scholar]
- P. Felzenszwalb, R. Girshick et al, Object detection with discriminatively trained part based models, PAMI, 32, pp.1627–1645 (2010) [Google Scholar]
- N. Dalal & B. Triggs, Histograms of oriented gradients for human detection, CVPR, 1, pp. 886–893 (2005) [Google Scholar]
- S. Czaja & M. Rubert, Telecommunications technology as an aid to family caregivers of persons with dementia, Psychosomatic medicine, 64, pp.469–476 (2002) [CrossRef] [Google Scholar]
- W. Choi, C. Pantofaru & S. Savarese, A general framework for tracking multiple people from a moving camera, PAMI, 35, pp.1577–1591 (2012) [CrossRef] [Google Scholar]
- M. D. Breitenstein, F. Reichlin et al, Robust tracking-by-detection using a detector confidence particle filter, ICCV, pp.1515–1522 (2009) [Google Scholar]
- H. B. Shitrit, J. Berclaz et al, Tracking multiple people under global appearance constraintsICCV, pp.137–144 (2011) [Google Scholar]
- P. Henry, M. Krainin et al, RGB-D mapping: Using Kinect-style depth cameras for dense 3D modeling of indoor environments, IJRR, 31, pp.647–663 (2012) [Google Scholar]
- K. Khoshelham & S. Elberink, Accuracy and resolution of kinect depth data for indoor mapping applications, Sensors, 12, pp.1437–1454 (2012) [CrossRef] [Google Scholar]
- F. Grossi, V. Bianchi et al, Internet-based home monitoring and control, AAATE, pp.309–313 (2009) [Google Scholar]
- O. Fuerst & T. Fuerst, U.S. Patent Application No. 11/198, 588 (2005) [Google Scholar]
- A. Sharkey & N. Sharkey, Granny and the robots: ethical issues in robot care for the elderly, Ethics and Information Technology, 14, pp.27–40 > (2012) [CrossRef] [Google Scholar]
- CQC, Fundamental Standers, http://www.cqc.org.uk/content/fundamental-standards, (accessed on December 2015). [Google Scholar]
- CQC, About Us, http://www.cqc.org.uk/content/who-we-are, ( accessed on December 2015). [Google Scholar]
- CQC, Using surveillance: Information for providers of health and social care on using surveillance to monitor services (2015). [Google Scholar]
- M. Boulos, N. Maged & S. Wheeler, The emerging Web 2.0 social software: an enabling suite of sociable technologies in health and health care education. HILJ, 24, pp.2–23 (2007). [Google Scholar]
- E. Machida, M. Cao et al, Human motion tracking of mobile robot with Kinect 3D sensor,SICE, pp.2207–2211 (2012) [Google Scholar]
- S. Huang & J. Hong, Moving object tracking system based on camshift and Kalman filter, CECNet, pp.1423–1426 (2011) [Google Scholar]
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